Avigad Gideon, Moshaiov Amiram
Mechanical Engineering Department, ORT Braude College of Engineering, Karmiel 21982, Israel.
IEEE Trans Syst Man Cybern B Cybern. 2009 Aug;39(4):1013-27. doi: 10.1109/TSMCB.2008.2011565. Epub 2009 Mar 24.
This paper deals with interactive concept-based multiobjective problems (IC-MOPs) and their solution by an evolutionary computation approach. The presented methodology is motivated by the need to support engineers during the conceptual design stage. IC-MOPs are based on a nontraditional concept-based approach to search and optimization. It involves conceptual solutions, which are represented by sets of particular solutions, with each concept having a one-to-many relation with the objective space. Such a set-based concept representation is most suitable for human-computer interaction. Here, a fundamental type of IC-MOPs, namely, the Pareto-directed one, is formally defined, and its solution is presented. Next, a new interactive concept-based multiobjective evolutionary algorithm is introduced, and measures to assess its resulting fronts are devised. Finally, the proposed approach and the suggested search algorithm are studied using both academic test functions and an engineering problem.
本文探讨基于概念的交互式多目标问题（IC-MOPs）及其通过进化计算方法的求解。所提出的方法是受在概念设计阶段支持工程师的需求所驱动。IC-MOPs基于一种非传统的基于概念的搜索与优化方法。它涉及概念性解决方案，这些解决方案由特定解决方案集表示，每个概念与目标空间具有一对多的关系。这种基于集合的概念表示最适合人机交互。在此，正式定义了一种基本类型的IC-MOPs，即帕累托导向型，并给出了其求解方法。接下来，引入了一种新的基于概念的交互式多目标进化算法，并设计了评估其所得前沿的措施。最后，使用学术测试函数和一个工程问题对所提出的方法和建议的搜索算法进行了研究。
